Using a Generalized Linear Mixed Model Approach to Explore the Role of Age, Motor Proficiency, and Cognitive Styles in Children's Reach Estimation Accuracy. Issue 2 (October 2014)

• Record Type: Journal Article
• Authors: Caçola, Priscila M.; Pant, Mohan D.
• Is Part Of: Perceptual and motor skills. Volume 119:Issue 2(2014)
• Page Start: 530
• Page End: 549
• Publication Date: 2014-10
• Subjects: Perception -- Periodicals; Motor ability -- Periodicals; Motor Skills; Perception; Psychology; Electronic journals; Periodicals; 152
• DOI: 10.2466/27.10.PMS.119c21z0
• Languages: English
• ISSNs: 0031-5125

Abstract

The purpose was to use a multi-level statistical technique to analyze how children's age, motor proficiency, and cognitive styles interact to affect accuracy on reach estimation tasks via Motor Imagery and Visual Imagery. Results from the Generalized Linear Mixed Model analysis (GLMM) indicated that only the 7-year-old age group had significant random intercepts for both tasks. Motor proficiency predicted accuracy in reach tasks, and cognitive styles (object scale) predicted accuracy in the motor imagery task. GLMM analysis is suitable to explore age and other parameters of development. In this case, it allowed an assessment of motor proficiency interacting with age to shape how children represent, plan, and act on the environment.